code: def __init__(self, C_in, C_out):
      super(StdConv, self).__init__()
      self.conv = nn.Sequential(
          nn.Conv2d(C_in, C_out, 1, stride=1, padding=0, bias=False),
          nn.BatchNorm2d(C_out, affine=False),
          nn.ReLU(),
      )
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new StdConv object from inherited base classes: nn with example: obj = StdConv(C_in, C_out)